Hokkaido University uses simulations to map a treasure trove of fluorinated compounds

Supercomputer simulations are most often used as a guide, so chemists can more efficiently work out the exact details of a general reaction idea they have in mind — much like a compass helps guide an explorer efficiently to a destination on their map. However, researchers at ICReDD in Japan took things a big step further and used simulations to produce the general idea for an entirely unimagined reaction, effectively using computations to make the map itself. Using the design principle suggested by computational results, the team hit the motherlode in the lab, successfully developing a suite of 48 reactions that produce compounds potentially useful for novel drug development. (Front row, Left to Right) Satoshi Maeda, Hiroki Hayashi, Tsuyoshi Mita, (Back row, Left to Right) Yu Harabuchi, Hitomi Katsuyama, and Hideaki Takano of the research team at ICReDD. (Photo: ICReDD)

The presence and position of fluorine in a molecule often affect a molecule’s pharmacological activity.  Researchers at ICReDD have utilized quantum chemical calculations to discover a reaction that selectively adds two fluorine atoms to a difficult-to-access position on an N-heterocycle — molecules with a carbon ring structure where at least one carbon in the ring is replaced with nitrogen. The ability to attach fluorine atoms to the previously difficult-to-access “alpha carbon” — the carbon immediately next to the nitrogen in the ring structure — could lead to the development of a host of novel drugs.

Before carrying out experiments in the lab, the researchers cast a wide net, computationally testing the viability of numerous 3-component reactions using the artificial force-induced reaction (AFIR) method. They simulated the reaction of a difluorocarbene molecule, which acts at the source of fluorine atoms, with various pairs of small molecules featuring a double or triple bond.  These simulations showed that several ring-forming reactions should be viable.

Researchers tried one of the promising reactions suggested by initial computational results but weren’t successful. A more narrowly focused, optimized computation of the transition state energy of the reaction in question showed that the difluorocarbene molecule more easily reacted with itself than with the desired starting molecules, signaling that an undesired side reaction was likely occurring. This result inspired researchers to change one of the starting materials to the cyclic molecule pyridine, which they anticipated would be able to compete with the unwanted side reaction. This change resulted in the successful synthesis of the desired N-heterocyclic product with two fluorines attached at the alpha carbon position.

The reaction developed here is also significant because it breaks the aromatic system of electrons in the pyridine molecule, a transformation that is especially difficult due to the high stability of aromatic systems. Additionally, the 3-component reaction framework was applied successfully in the lab to a wide range of starting materials, resulting in many new molecules with unique alpha position fluorine substitutions. The large scope of reactivity greatly increases the potential utility of this reaction framework in new drug development.

The researchers see their streamlined screening method as a way to broaden the scope of their search and discover new horizons in chemical reaction design.

“Our study’s highlight is the successful demonstration of an in silico reaction screening strategy for reaction development. The computational reaction simulation suggested less-explored three-component reactions of difluorocarbene and two unsaturated molecules, which we successfully realized in experiments,” explained lead author Hiroki Hayashi. “I think the AFIR method is a powerful tool for dictating new research directions in reaction discovery, and we plan to continue building a computation-based reaction development platform by integrating the computational and informatics techniques of ICReDD.”

Magnetic superstructures resonate with Osaka Metro 6G developers

Osaka Metropolitan University researchers observed unprecedented collective resonance motion in chiral helimagnets that allow a boost in current frequency bands.

When will 6G be a reality? The race to realize sixth-generation (6G) wireless communication systems requires the development of suitable magnetic materials. Scientists from Osaka Metropolitan University in Japan and their colleagues detected an unprecedented collective resonance at high frequencies in a magnetic superstructure called a chiral spin soliton lattice (CSL), revealing CSL-hosting chiral helimagnets as a promising material for 6G technology. The study was published in Physical Review LettersUsing a broadband microwave spectroscopy, the scientists detected unprecedented collective resonance modes at remarkably high and broad frequency bands. They found that resonance could occur in CSL at beyond-5G frequencies with a small change in the strength of the magnetic field.

Future communication technologies require expanding the frequency band from the current few Gigahertz (GHz) to over 100 GHz. Such high frequencies are not yet possible given that existing magnetic materials used in communication equipment can only resonate and absorb microwaves up to approximately 70 GHz with a practical-strength magnetic field. Addressing this gap in knowledge and technology, the research team led by Professor Yoshihiko Togawa from Osaka Metropolitan University delved into the helicoidal spin superstructure CSL. “CSL has a tunable structure in periodicity, meaning it can be continuously modulated by changing the external magnetic field strength,” explained Professor Togawa. “The CSL phonon mode, or collective resonance mode ― when the CSL’s kinks oscillate collectively around their equilibrium position ― allows frequency ranges broader than those for conventional ferromagnetic materials.” This CSL phonon mode has been understood theoretically but never observed in experiments.

Seeking the CSL phonon mode, the team experimented on CrNb3S6, a typical chiral magnetic crystal that hosts CSL. They first generated CSL in CrNb3S6 and then observed its resonance behavior under changing external magnetic field strengths. A specially designed microwave circuit was used to detect the magnetic resonance signals.

The researchers observed resonance in three modes, namely the “Kittel mode,” the “asymmetric mode,” and the “multiple resonance modes.” In the Kittel mode, similar to what is observed in conventional ferromagnetic materials, the resonance frequency increases only if the magnetic field strength increases, meaning that creating the high frequencies needed for 6G would require an impractically strong magnetic field. The CSL phonon was not found in the asymmetric mode, either.

In the multiple resonance modes, the CSL phonon was detected; in contrast to what is observed with magnetic materials currently in use, the frequency spontaneously increases when the magnetic field strength decreases. This is an unprecedented phenomenon that will possibly enable a boost to over 100 GHz with a relatively weak magnetic field – this boost is a much-needed mechanism for achieving 6G operability.

“We succeeded in observing this resonance motion for the first time,” noted first author Dr. Yusuke Shimamoto. “Due to its excellent structural controllability, the resonance frequency can be controlled over a wide band up to the sub-terahertz band. This wideband and variable frequency characteristic exceeds 5G and is expected to be utilized in research and development of next-generation communication technologies.”

China creates the first set of large ensemble simulations with a global climate system model to reveal the role of internal climate variability

Since the Industrial revolution era began, global warming, Arctic sea ice melting, and increasing sea-level rise are likely attributed to human activity, according to the IPCC AR6 report. The climate change response to external forcings (including human activity) is non-linear and is affected by internal variabilities (IVs) generated mainly from internal processes in the climate or Earth system. Recently, scientists have found that IVs, such as the Pacific Decadal Oscillation or Inter-decadal Pacific Oscillation, and the Atlantic Multi-decadal Oscillation, will greatly impact the Walker Circulation and Global Monsoon throughout the next three decades. IVs are also important sources of uncertainties in understanding historical climate change, especially at the regional scale. Put succinctly, IVs are useful for studying climate change, mitigation strategies, and providing guidance for policy makers. Change in surface air temperatures (SATs) at different time periods (relative to 1961-1990) and the internal variabilities (The dots identify signal strength and are significant to the study). The line is the globally averaged surface air temperature. Below the year, the SAT change and the range of IVs are denoted.  CREDIT Pengfei Lin

Climate system models aid IV studies by providing simulations, especially when employing single-model initial-condition large ensemble simulations, which are an ensemble of simulations tied to a single climate model under a particular radiative forcing scenario. The large ensemble simulations apply perturbations, or deviations from normal input, to the initial conditions of each member to create diverging weather and climate trajectories. The ensemble sizes of large ensemble simulations are subject to computational and resource limits similar to those used in previous studies. Recently, several modeling center research groups have conducted single-model initial-condition large ensemble simulations that are now possible with rapidly increasing computer abilities. 

Employing large ensemble simulations to study climate change has been a hotspot in climate research. For instance, the National Center for Atmospheric Research (NCAR) released a large ensemble simulation in 2015 that has been cited more than one thousand times. Until then, the ensemble sizes have featured no greater than 100 members, and, even today, few of ensemble simulations have 100 ensemble sizes. 

To study the impact of IVs on future global monsoon projections, the LASG ocean model team group from the Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS) produced a super-large ensemble simulation with 110 members from their FGOALS-g3 climate system model. The full breadth of their research is available in a data description paper entitled "The Super-large Ensemble experiments of CAS FGOALS-g3" now published in Advances in Atmospheric Sciences.

"The Super-large Ensemble experiments of CAS FGOALS-g3 are the first set of large ensemble simulations from a global climate system model named FGOALS-g3 developed by IAP, CAS," said lead author Bowen Zhao. "The large ensemble simulation has the largest sample numbers in the world."

Each member contains a simulation for the climate system model, including ocean, atmosphere, sea ice, and land components. Researchers fully sampled the different phases of decadal ocean variability as the initial model states under the standard CMIP6 historical forcing conditions. They also included the Shared Socioeconomic Pathway scenario (SSP5-8.5), which suggests very high greenhouse gas emissions. These simulations cover a period between 1850 to 2099. 

"Our assessment also shows that these ensembles are capable of accurately capturing surface air temperature response and land precipitation, including extreme climate events as well as external forcings, and we can quantify the internal variabilities." continued Zhao. "Having more than 100 simulations and their realizations helps us study rare events and improve our understanding of the impact of internal variability on forced climate changes."