Results 51 to 60 of about 145,154 (213)

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Quantum Logic and the Histories Approach to Quantum Theory

, 1993
An extended analysis is made of the Gell-Mann and Hartle axioms for a generalised `histories' approach to quantum theory. Emphasis is placed on finding equivalents of the lattice structure that is employed in standard quantum logic.
Belavkin V. P., C. J. Isham, Gleason A. M.   +2 more
core   +1 more source

Organic Thin‐Film Transistors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
Organic thin‐film transistors (OTFTs) are reviewed for neuromorphic computing applications, highlighting their power‐efficient, and biological time‐scale operation. This article surveys OFET and OECT devices, compares them with memristors and CMOS, analyzes how fabrication parameters shape spike‐based metrics, proposes standardized characterization ...
Luke McCarthy, Mohan V. Jacob, Mostafa Rahimi Azghadi   +2 more
wiley   +1 more source

A universe of processes and some of its guises [PDF]

, 2010
Our starting point is a particular `canvas' aimed to `draw' theories of physics, which has symmetric monoidal categories as its mathematical backbone.
Coecke, Bob
core  

A Categorical Framework for Quantum Theory

, 2009
Underlying any theory of physics is a layer of conceptual frames. They connect the mathematical structures used in theoretical models with physical phenomena, but they also constitute our fundamental assumptions about reality.
Aharonov, Aspect, Bell, Bitbol, Cramer, Dalla Chiara, deWitt, Einstein, Einstein, Everett, Filk, Ghirardi, Greenberger, Griffiths, Haag, Hiley, Horodecki, Károlyházy, Omnés, Oppenheim, Oppenheim, Rovelli, Schlosshauer, Scully, Scully, Smerlak, Tumulka, von Weizsäcker   +27 more
core   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Topological Materials and Related Applications

Advanced Electronic Materials, EarlyView.
This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti, Roberto Mantovan, Emanuele Longo, Harold J. W. Zandvliet, Pantelis Bampoulis, Yu Pan, Fan Li, Xia Wang, Payton Downey, Alessandro Molle   +9 more
wiley   +1 more source

Isabelle/PIDE as Platform for Educational Tools

, 2012
The Isabelle/PIDE platform addresses the question whether proof assistants of the LCF family are suitable as technological basis for educational tools.
Amine Chaieb, Andrea Asperti, Burkhart Wolff, Cezary Kaliszyk, D. C. Oppen, David Aspinall, David Aspinall, David C. J. Matthews, Florian Haftmann, Florian Haftmann, J. Urban, Lawrence C. Paulson, Louise A. Dennis, M. J. C. Gordon, M. Wenzel, M. Wenzel, Makarius Wenzel, Makarius Wenzel, Makarius Wenzel, Makarius Wenzel, Makarius Wenzel, Makarius Wenzel, Marc Wagner, Markus Wenzel, Maxim Hendriks, P. Haller, Pedro Quaresma, Ralph-Johan Back, Tuan Minh Pham, Yves Bertot   +29 more
core   +2 more sources

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Mathematical Abstraction, Conceptual Variation and Identity [PDF]

, 2014
One of the key features of modern mathematics is the adoption of the abstract method. Our goal in this paper is to propose an explication of that method that is rooted in the history of the ...
Marquis, Jean-Pierre
core