Results 141 to 150 of about 7,586,957 (291)

Conservation in Kansas

open access: yes, 2005
Continues title: Soil conservation in Kansas which was continued by: Conservation in ...
Kansas. State Conservation Commission
core  

Predicting Performance of Hall Effect Ion Source Using Machine Learning

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park   +8 more
wiley   +1 more source

Switching ATP‐Forming Phosphoryl‐Transfer Chemistry With a Restricted Set of Amino Acids

open access: yesAngewandte Chemie, EarlyView.
Constraints on amino acid composition relevant to prebiotic chemistry reshape enzyme chemistry by replacing the canonical mechanism within a conserved protein fold with a distinct ATP‐forming reaction, ADP disproportionation. Such constraints generate alternative catalytic solutions not observed in modern enzymes and point to chemically plausible early
Sota Yagi   +3 more
wiley   +2 more sources

Conservation in Kansas

open access: yes, 2001
Continues title: Soil conservation in Kansas which was continued by: Conservation in ...
Kansas. State Conservation Commission
core  

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

open access: yesAdvanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison   +4 more
wiley   +1 more source

From Atoms to Reactors: A Critical Review of a Decade of Machine Learning in Heterogeneous Catalysis (2017–2026)

open access: yesAngewandte Chemie, EarlyView.
Machine learning has digitalized heterogeneous catalysis from the top of the length scale downward: prediction at the atom and the material is now mature, yet the reactor and the process remain the open frontier. This critical review traces a decade of progress across the full catalytic value chain and asks where the next decade of impact must be won ...
Rafael Larraz, Avelino Corma
wiley   +2 more sources

Quantifying Structure‐Dependent Rigidity of 3D DNA Origami Boxes

open access: yesAdvanced Intelligent Systems, EarlyView.
We investigate the mechanical stability of a hollow 3D DNA origami box during assembly using liquid AFM imaging and finite element simulations. As structural completeness increases from flat sheets through intermediate assemblies to a closed box, rigidity improves.
Judith Zubia‐Aranburu   +5 more
wiley   +1 more source

Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation

open access: yesAdvanced Intelligent Systems, EarlyView.
Objectives and key results (OKR)‐agent, an OKR‐driven multiagent framework, turns a plain‐language engineering goal into completed mechanical simulations. Three peer agents—supervisor, modeler, and simulator—share a compact board of OKR and coordinate external molecular dynamics (MD) and finite‐element solvers through a standardized tool interface. The
Jie Tian   +10 more
wiley   +1 more source

Home - About - Disclaimer - Privacy