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Science: physics, biology, chemistry, astronomy and space, neuroscience, and research explained.

  1. An integrated self-optimizing programmable chemical synthesis and reaction engine nature.com

    Nature Communications, 2024. [All Versions]. Robotic platforms for chemistry are developing rapidly but most systems are not currently able to adapt to changing circumstances in real-time. This paper presents a dynamically programmable system capable of making, optimizing, and…

  2. Artificial intelligence driven design of catalysts and materials for ring opening polymerization using a… nature.com

    Nature Communications, 2023. [All Versions]. [Project]. Advances in machine learning (ML) and automated experimentation are poised to vastly accelerate research in polymer science. Data representation is a critical aspect for enabling ML integration in research workflows, yet…

  3. AlphaFlow: autonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by… nature.com

    Nature Communications, 2023. [All Versions]. Closed-loop, autonomous experimentation enables accelerated and material-efficient exploration of large reaction spaces without the need for user intervention. However, autonomous exploration of advanced materials with complex…

  4. Synthesizing theories of human language with Bayesian program induction nature.com

    Nature Communications, 2022. [All Versions]. Automated, data-driven construction and evaluation of scientific models and theories is a long-standing challenge in artificial intelligence. This work presents a framework for algorithmically synthesizing models of a basic part of…

  5. Inferring experimental procedures from text-based representations of chemical reactions nature.com

    Nature Communications, 2021. [All Versions]. This paper presents data-driven models for predicting the entire sequence of synthesis steps starting from a textual representation of a chemical equation, for application in batch organic chemistry.

  6. Virtual reality in behavioral neuroscience and beyond nature.com

    Nature Neuroscience, 2002. [All Versions]. A classic review on the early applications of Virtual Reality to behavioral studies.

  7. Functional genomic hypothesis generation and experimentation by a robot scientist nature.com

    Nature, 2004. [All Versions]. This paper describes a physically implemented robotic system that applies techniques from artificial intelligence to carry out cycles of scientific experimentation. The system automatically originates hypotheses to explain observations, devises…

  8. Five keys to writing a reproducible lab protocol nature.com

    Nature, 2021. [All Versions]. This interviewing paper introduces five ways to increase the reproducibility of experimental protocols: (i) documenting protocols as the experiment goes; (ii) providing video illustrations in addition to written protocols; (iii) using electronic…

  9. 1,500 scientists lift the lid on reproducibility nature.com

    Nature, 2016. [All Versions].

  10. Infinite Latent Feature Models and the Indian Buffet Process mlg.eng.cam.ac.uk

    Gatsby Computational Neuroscience Unit Technical Report 2005-001, 2005. [All Versions].

  11. Abduction and styles of scientific thinking link.springer.com

    Synthese, 2021. [All Versions]. A computational philosophy account connecting Abduction and scientific thinking.

  12. Abstract Hardware Grounding Towards the Automated Design of Automation Systems link.springer.com

    ICIRA'24, 2024. [All Versions]. [Preprint]. Crafting automation systems tailored for specific domains requires aligning the space of human experts’ semantics with the space of robot executable actions, and scheduling the required resources and system layout accordingly…

  13. Abduction, Induction, and Analogy link.springer.com

    Model-Based Reasoning in Science and Technology, 2010. [All Versions]. The distinctions and relations between Abduction, Induction, and Analogy.

  14. Abductive Cognition: The Epistemological and Eco-Cognitive Dimensions of Hypothetical Reasoning link.springer.com

    Springer, 2009. [All Versions]. Most philosophers of science in the twentieth century have concluded that no logic of creative processes exists and, moreover, that a rational model of discovery is impossible. In short, scientific creative inferences are irrational and there is…

  15. When to trust the data: Further investigations of system error in a scientific reasoning task link.springer.com

    Memory & Cognition, 1996. [All Versions]. When evaluating experimental evidence, how do people deal with the possibility that some of the feedback is erroneous? The potential for error means that evidence evaluation must include decisions about when to “trust the data.” This…

  16. Do People Ask Good Questions? link.springer.com

    Computational Brain & Behavior, 2018. [All Versions].

  17. From intention to implementation: automating biomedical research via LLMs link.springer.com

    Science China Information Sciences, 2025. [All Versions]. Conventional biomedical research is increasingly labor-intensive due to the exponential growth of scientific literature and datasets. Artificial intelligence (AI), particularly large language models (LLMs), has the…

  18. Abductive learning: towards bridging machine learning and logical reasoning link.springer.com

    Science China Information Sciences, 2019. [All Versions].

  19. Toward understanding the importance of gesture in distributed scientific collaboration link.springer.com

    Knowledge and Information Systems, 2006. [All Versions].

  20. Defending Abduction journals.uchicago.edu

    Philosophy of Science, 1999. [All Versions].

  21. Two lines: A valid alternative to the invalid testing of U-shaped relationships with quadratic regressions journals.sagepub.com

    Advances in Methods and Practices in Psychological Science, 2018. [All Versions]. An alternative method to test the statistical significance of U-shaped relationships.

  22. Idiosyncratic Tower of Babel: Individual differences in word-meaning representation increase as word abstractness… journals.sagepub.com

    Psychological Science, 2021. [All Versions]. [All Versions]. Humans primarily rely on language to communicate, on the basis of a shared understanding of the basic building blocks of communication: words. Do we mean the same things when we use the same words? Although cognitive…

  23. Rapid Assimilation of External Objects Into the Body Schema journals.sagepub.com

    Psychological Science, 2010. [All Versions].

  24. The Experimental Design Assistant journals.plos.org

    PLoS Biology, 2017. [All Versions]. [Nature Methods Correspondence]. [EDA Website]. The EDA is a web-based tool that guides the in vivo researcher through the experimental design and analysis process, providing automated feedback on the proposed design and generating a…

  25. Biocoder: A programming language for standardizing and automating biology protocols jbioleng.biomedcentral.com

    Journal of Biological Engineering, 2010. [All Versions]. [Project]. [Microsoft Page] This paper introduces BioCoder, a C++ library that enables biologists to express the exact steps needed to execute a protocol. In addition to being suitable for automation, BioCoder converts…

  26. The Meaning of "Theory" jamacoartney.net

    Sociological Theory, 2008. [All Versions]. A philosophical account on the definition of "theory" in social science (also can be generalized to natural science).

  27. LogiCode: An LLM-Driven Framework for Logical Anomaly Detection ieeexplore.ieee.org

    IEEE Transactions on Automation Science and Engineering, 2024. [All Versions]. This paper presents LogiCode, a novel framework that leverages Large Language Models (LLMs) for identifying logical anomalies in industrial settings, moving beyond the traditional focus on structural…

  28. VMC: A Grammar for Visualizing Statistical Model Checks ieeexplore.ieee.org

    IEEE Transactions on Visualization and Computer Graphics, 2024. [All Versions]. Visualizations play a critical role in validating and improving statistical models. However, the design space of model check visualizations is not well understood, making it difficult for authors to…

  29. The Design, Education and Evolution of a Robotic Baby ieeexplore.ieee.org

    IEEE Transactions on Robotics, 2023. [All Versions]. Inspired by Alan Turing's idea of a child machine, this article introduces the formal definition of a robotic baby, an integrated system with minimal world knowledge at birth, capable of learning incrementally and…

  30. Scientific discovery: Computational explorations of the creative processes hk1lib.org

    MIT Press, 1987. [All Versions]. The book is divided into four parts. Part I introduces the subject of discovery, defines the scope of our work, and discusses some of the issues that have surrounded and still surround our topic. Parts II and III contain the main body of our…

  31. Models of Discovery: And Other Topics in the Methods of Science hk1lib.org

    Springer, 1977. [All Versions]. The original book on search as scientific thinking.

  32. Cognitive Science and Science Education harvardlds.org

    American Psychologist, 1986. [All Versions]. Susan Carey's review on cognitive-science-based methodologies for science education research.

  33. Similarity involving attributes and relations: Judgments of similarity and difference are not inverses groups.psych.northwestern.edu

    Psychological Science, 1990. [All Versions]. Theory on similarity judgement by attributes and relations.

  34. Computational rationality: A converging paradigm for intelligence in brains, minds, and machines gershmanlab.com

    Science, 2015. [All Versions]. A comprehensive review on the rationality of Bayesian computational models.

  35. Galactica: A Large Language Model for Science galactica.org

    Meta AI, 2022. [All Versions]. A large language model trained on large-scale scientific corpus.

  36. Using a high-dimensional graph of semantic space to model relationships among words frontiersin.org

    Frontiers in Psychology, 2014. [All Versions]. The GOLD model (Graph Of Language Distribution) is a network model constructed based on co-occurrence in a large corpus of natural language that may be used to explore what information may be present in a graph-structured model of…

  37. Complexity Management in a Discovery Task escholarship.org

    CogSci'92, 1992. [All Versions]. Previous psychological research about scientific discovery has often focused on subjects' heuristics for discovering simple concepts with one relevant dimension or a few relevant dimensions with simple two-way interactions. This paper presents…

  38. A computational model of scientific insight escholarship.org

    The nature of creativity: Contemporary psychological perspectives, 1988. [All Versions]. A computational account on insights for scientific discovery.

  39. Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning dspace.mit.edu

    Robotics: Science and Systems, 2018. [All Versions].

  40. From understanding computation to understanding neural circuitry dspace.mit.edu

    Neuroscience Research Program Bulletin, 1979. [All Versions].

  41. Ten-month-old infants infer the value of goals from the costs of actions dspace.mit.edu

    Science, 2017. [All Versions]. A piece of evidence for children's capability on ToM.

  42. What is consciousness, and could machines have it? doi.org

    Science, 2017. [All Versions]. A perspective on the two levels of consciousness in machine intelligence.

  43. How Domain Experts Use an Embedded DSL dl.acm.org

    OOPSLA'23, 2023. [All Versions]. Programming tools are increasingly integral to research and analysis in myriad domains, including specialized areas with no formal relation to computer science. Embedded domain-specific languages (eDSLs) have the potential to serve these…

  44. A Computational Inflection for Scientific Discovery dl.acm.org

    Communications of the ACM, 2023. [All Versions].

  45. A Taxonomy of Domain-Specific Aspect Languages dl.acm.org

    ACM Computing Surveys, 2015. [All Versions]. Domain-Specific Aspect Languages (DSALs) are Domain-Specific Languages (DSLs) designed to express crosscutting concerns. Compared to DSLs, their aspectual nature greatly amplifies the language design space. This survey structures…

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