Results 161 to 170 of about 2,673,001 (287)
Ground water pollution potential of Clark County, Ohio
"March, 1995."; Includes bibliographical references (pages 28-34)A ground water pollution potential map of Clark County has been prepared using the DRASTIC mapping process.
Vormelker, Joel D. (Joel David)
core
USe3 is introduced as an actinide van der Waals semiconductor that mirrors the quasi‐one‐dimensional physics of transition‐metal trichalcogenides. Polarization‐resolved Raman spectroscopy on exfoliated flakes maps strong in‐plane phonon anisotropy and strain‐tunable mode shifts.
Aljoscha Söll +17 more
wiley +1 more source
Differences of dynamic responses of single-pile and pile-group foundations in Meizoseismal areas. [PDF]
Dong Y, Feng Z, He J, Wang Z, Wang B.
europepmc +1 more source
A gas‐fed, zero‐gap, PEM CO2 electrolyzer is realized by incorporating PDDA+ ions onto the carbonaceous Co/N‐C electrocatalyst, with gaseous H2 and CO2 fed into the anode and cathode, respectively. Operating without an aqueous electrolyte, the system sustains a peak FECO of 65.1% at 100 mA cm−2. ABSTRACT Electrochemical carbon dioxide reduction (ECO2R)
Yuen Leong Chow +6 more
wiley +1 more source
Variance of Peak Ground Acceleration and Velocity in Attenuation Relationships
identifier:oai:t2r2.star.titech.ac.jp ...
openaire +1 more source
Passive-Active Cooperative Design Method for Fall Protection in Humanoid Robot. [PDF]
Mu T, Gao J, Zuo W, Xie L.
europepmc +1 more source
Hafnium zirconium oxide thin films are grown using plasma‐enhanced atomic layer deposition with the addition of an atomic layer annealing (ALA) step. ALA leads to a change in the short‐range structure of the deposit and encourages formation of the ferroelectric Pca21 phase. The result is wake‐up‐free performance with films exposed to ALA.
Nicolas K. Lam +18 more
wiley +1 more source
Exploring the Role of Footwear in Trail Running and Hiking: A Scoping Review. [PDF]
Jackson A +4 more
europepmc +1 more source
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
Emerging Portable Technology Provides Preliminary Predictive Models of Maximum Velocity Sprinting in National Australian Track Athletes: A Foundation for Measuring Sprint Performance in the Field. [PDF]
Sayer T, Cross N.
europepmc +1 more source

