Search Results - "Vaucher, Alain C."
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GuacaMol: Benchmarking Models for de Novo Molecular Design
Published in Journal of chemical information and modeling (25-03-2019)“…De novo design seeks to generate molecules with required property profiles by virtual design-make-test cycles. With the emergence of deep learning and neural…”
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Exploration of Reaction Pathways and Chemical Transformation Networks
Published in The journal of physical chemistry. A, Molecules, spectroscopy, kinetics, environment, & general theory (17-01-2019)“…For the investigation of chemical reaction networks, the identification of all relevant intermediates and elementary reactions is mandatory. Many algorithmic…”
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Prediction of chemical reaction yields using deep learning
Published in Machine learning: science and technology (01-03-2021)“…Artificial intelligence is driving one of the most important revolutions in organic chemistry. Multiple platforms, including tools for reaction prediction and…”
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Automated extraction of chemical synthesis actions from experimental procedures
Published in Nature communications (17-07-2020)“…Experimental procedures for chemical synthesis are commonly reported in prose in patents or in the scientific literature. The extraction of the details…”
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Semiempirical molecular orbital models based on the neglect of diatomic differential overlap approximation
Published in International journal of quantum chemistry (15-12-2018)“…Semiempirical molecular orbital (SEMO) models based on the neglect of diatomic differential overlap (NDDO) approximation efficiently solve the self‐consistent…”
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Inferring experimental procedures from text-based representations of chemical reactions
Published in Nature communications (06-05-2021)“…The experimental execution of chemical reactions is a context-dependent and time-consuming process, often solved using the experience collected over multiple…”
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Training Neural Nets To Learn Reactive Potential Energy Surfaces Using Interactive Quantum Chemistry in Virtual Reality
Published in The journal of physical chemistry. A, Molecules, spectroscopy, kinetics, environment, & general theory (23-05-2019)“…While the primary bottleneck to a number of computational workflows was not so long ago limited by processing power, the rise of machine learning technologies…”
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Mapping the space of chemical reactions using attention-based neural networks
Published in Nature machine intelligence (01-02-2021)“…Organic reactions are usually assigned to classes containing reactions with similar reagents and mechanisms. Reaction classes facilitate the communication of…”
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Author Correction: Inferring experimental procedures from text-based representations of chemical reactions
Published in Nature communications (18-11-2024)Get full text
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Unbiasing Retrosynthesis Language Models with Disconnection Prompts
Published in ACS central science (26-07-2023)“…Data-driven approaches to retrosynthesis are limited in user interaction, diversity of their predictions, and recommendation of unintuitive disconnection…”
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Leveraging infrared spectroscopy for automated structure elucidation
Published in Communications chemistry (16-11-2024)“…The application of machine learning models in chemistry has made remarkable strides in recent years. While analytical chemistry has received considerable…”
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Completion of partial chemical equations
Published in Machine learning: science and technology (01-06-2024)“…Inferring missing molecules in chemical equations is an important task in chemistry and drug discovery. In fact, the completion of chemical equations with…”
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One Bronze Medal for Switzerland at the 48th International Chemistry Olympiad in Tbilisi, Georgia
Published in Chimia (21-12-2016)“…Four Swiss high school students participated in the 48th International Chemistry Olympiad (IChO), which took place from July 23 to August 1 in Tbilisi,…”
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Standardizing chemical compounds with language models
Published in Machine learning: science and technology (01-09-2023)“…With the growing amount of chemical data stored digitally, it has become crucial to represent chemical compounds accurately and consistently. Harmonized…”
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Machine intelligence for chemical reaction space
Published in Wiley interdisciplinary reviews. Computational molecular science (01-09-2022)“…Discovering new reactions, optimizing their performance, and extending the synthetically accessible chemical space are critical drivers for major technological…”
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16
Steering Orbital Optimization out of Local Minima and Saddle Points Toward Lower Energy
Published in Journal of chemical theory and computation (14-03-2017)“…The general procedure underlying Hartree–Fock and Kohn–Sham density functional theory calculations consists in optimizing orbitals for a self-consistent…”
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Minimum Energy Paths and Transition States by Curve Optimization
Published in Journal of chemical theory and computation (12-06-2018)“…Transition states and minimum energy paths are essential to understand and predict chemical reactivity. Double-ended methods represent a standard approach for…”
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Grand challenges on accelerating discovery in catalysis
Published in Catalysis today (01-03-2022)“…Today, about 90% of all chemical processes employ in some stage catalysis with an enormous potential for additional impact in areas like energy, fuels, and…”
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Fast Customization of Chemical Language Models to Out-of-Distribution Data Sets
Published in Chemistry of materials (14-11-2023)“…The world is on the verge of a new industrial revolution, and language models are poised to play a pivotal role in this transformative era. Their ability to…”
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Molecular Propensity as a Driver for Explorative Reactivity Studies
Published in Journal of chemical information and modeling (22-08-2016)“…Quantum chemical studies of reactivity involve calculations on a large number of molecular structures and the comparison of their energies. Already the setup…”
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