The historical carbon emissions of major oil, gas, coal, and cement producers will contribute to global warming for many centuries, per simulations under a range of future emissions scenarios.

As students return to school and cold and flu season begins, researchers are studying ways to improve indoor air quality and reduce the risk of airborne disease transmission. A study in ACS ES&T Air reports test results of do-it-yourself (DIY) air filters, known as Corsi-Rosenthal Boxes, in university class sessions. The units reduced particulate matter across the occupied classroom by 61%, produced minimal noise, and were more affordable than commercial portable air purifiers.

In a new study, scientists have made significant progress in developing a robust approach for the identification of chemical hazards using an informed selection of in vitro bioassays.

Researchers developed physics-embedded inverse learning (PEIL), which uses a fixed, differentiable physical solver to turn signal-recovery error into supervision for parameter estimation without parameter labels. In high-mobility wireless tests, PEIL generalized to unseen channel profiles and speeds without retraining and matched a parameter-supervised baseline using one twentieth as many training samples. PEIL was also used to estimate coil sensitivity maps for parallel MRI.