Results 171 to 180 of about 31,846 (225)

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

Participation, complexity and the practice of education change. [PDF]

Med Educ
Tam H.
europepmc   +1 more source

CFD modeling and sensitivity‐guided design of silicon filament CVD reactors

AIChE Journal, EarlyView.
Abstract Filament‐based chemical vapor deposition (CVD) for silicon (Si) coatings is often treated as an adaptation of planar deposition. But this overlooks fundamental shifts in transport phenomena and reaction kinetics. In filament CVD, the filament acts as a substrate, heat source, and flow disruptor simultaneously. In this work, we ask: What really
G. P. Gakis, G. Loachamín‐Suntaxi, I. G. Aviziotis, E. D. Koronaki, P. P. Filippatos, G. Chatzigiannakis, S. P. A. Bordas, D. Davazoglou, A. G. Boudouvis   +8 more
wiley   +1 more source

Leveraging large language models to populate structured clinical case report forms from unstructured medical notes in radiation oncology. [PDF]

Clin Transl Radiat Oncol
Nachbar M, Yi N, Büttner M, Gani C, Niyazi M, Garcia-Agundez A, Eickhoff C, Thorwarth D.   +7 more
europepmc   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

Multidimensional Datasets Supporting Vulnerability Assessments of Riverine Bridges in Peru. [PDF]

Sci Data
Espinoza Vigil AJ, Ccanccapa Puma J, Huarca Pulcha A, Ticona-Quispe A, Huarcaya-Perez D, Gonzales-Turpo A, Cusihuaman-Casquina R, Lucana-Hancco F, Booker J.   +8 more
europepmc   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

Electrically and mechanically tunable Rashba splitting in SbSeI Janus layer: a density functional theory study. [PDF]

Sci Rep
Kumar A, Sudheer AE, Tejaswini G, Vallinayagam M, Zschornak M, Murali D, Kamal C.   +6 more
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Cardiac biomarkers response under angiotensin receptor-neprilysin inhibitor: a sub-analysis of the NATRIUM-HF study. [PDF]

ESC Heart Fail
Bruno J, Daghmouri A, Sadoune M, Lafontaine R, Nguyen A, Edwards C, Davison B, Cotter G, Takagi K, Varounis C, Morishetty P, Azibani F, Masson E, Chenevier-Gobeaux C, Mebazaa A, Deniau B.   +15 more
europepmc   +1 more source