Results 131 to 140 of about 28,950,866 (246)

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

Quantum Threats to Bitcoin, Cryptocurrency and Blockchain. [PDF]

Blockchain Healthc Today
Khan R, Karim M, Roosan D.
europepmc   +1 more source

Personal Reflections on 50 Years of Scientific Computing: 1967–2017

, 2017
Computer hardware, software, numerical algorithms, and science and engineering applications are traced for a half century from the author's ...
Watson, Layne T.
core  

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source

Children's books about scientists convey demotivating messages. [PDF]

Proc Natl Acad Sci U S A
Gladstone JR, Applebaum G, Cimpian A.
europepmc   +1 more source

Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley   +1 more source

High-order photonic degeneracy enables topological reconfiguration in bound states in the continuum. [PDF]

Nat Commun
Fu Z, Chen Y, Shi F, Jin R, Guo J, Zhang Y, Yu F, Chen J, Huang L, Zhou C, Chen X, Lu W, Alù A, Li G, Qiu CW.   +14 more
europepmc   +1 more source

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone, Beatrice Cavina, Daniele Gaetano Sirico, Martina Mugnano, Vittorio Bianco, Lisa Miccio, Anna Myriam Perrone, Anna Maria Porcelli, Giuseppe Gasparre, Ivana Kurelac, Pasquale Memmolo, Pietro Ferraro   +11 more
wiley   +1 more source

A neural network model for managing renewable resources with population growth. [PDF]

Sci Rep
Ahmad S, Ahmad I, Alluhaidan AS, ElAffendi MA.   +3 more
europepmc   +1 more source

Computer Science Concepts - Complexity

, 2010
This lecture forms part of the "Complexity" topic of the Computer Science Concepts module.
Rong Yang, UKOER, Open Educational Repository in Support of Computer Science   +2 more
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